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Major Group

Clerical Support Workers

Sub-Major Group

Minor Group

Unit Group

Minor Unit Group

MASCO Code

4132-03

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Data and Media Labeller

GIG

A model in which individuals provide access to services or asset via digital platforms to the market

Data and Media Labeller prepares, tags, and annotates digital content such as images, videos, audio, and text to support data processing, cataloguing, and analysis. They ensure datasets are accurate, consistent, and compliant with project guidelines, enabling the preparation of structured data used in machine learning and artificial intelligence systems.

Tasks

Tag and label images, audio, video, and text data according to project instructions and annotation guidelines.

Annotate digital content to support data processing and cataloguing activities.

Review labelled data for accuracy, consistency, and completeness.

Apply metadata and classification tags to create structured and searchable datasets.

Maintain organised datasets and media files for easy retrieval and further use.

Identify, flag, and report data quality issues, discrepancies, or unclear content.

Validate and refine labelled data to meet project and data quality standards.

Assist in preparing labelled datasets for further system use in accordance with project requirements.

Ensure all labelling work complies with project requirements, taxonomy rules, and data handling procedures.

Skills

Basic

Ability to follow detailed instructions and predefined guidelines precisely.

Ability to work independently and manage tasks efficiently.

Basic computer literacy for handling digital tools and platforms.

Good communication skills to understand task requirements and provide feedback when needed.

Strong attention to detail to ensure accurate labelling of data and media.

Specific

Ability to update, transfer, and maintain labelled data in accordance with project requirements.

Ability to use standard computer applications and online platforms to support labelling work.

Accurate data entry and record keeping.

Basic understanding of the use of labelled data in machine learning and artificial intelligence systems.

Data organisation and management of labelled files and datasets.

Familiarity with data annotation tools and software.

Knowledge of quality control procedures for labelled data.

Understanding of various media formats, including images, audio, video, and text.

Additional Info

QUALIFICATION

Sijil Pelajaran Malaysia (SPM) or Equivalent

Related Courses

Claimable Course

e-Latih Online Course

Minor Unit Group

Data and Media Labeller

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